class_docstr: Default model transformations.
code: def __init__(
      self, num_bits_weight: int = 8, num_bits_activation: int = 8
  ):
      self._num_bits_weight = num_bits_weight
      self._num_bits_activation = num_bits_activation
  
file_path: model-optimization/tensorflow_model_optimization/python/core/quantization/keras/experimental/default_n_bit/default_n_bit_quantize_layout_transform.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import tensorflow
  from tensorflow_model_optimization.python.core.quantization.keras import quantize_layout_transform
  from tensorflow_model_optimization.python.core.quantization.keras.experimental.default_n_bit import default_n_bit_transforms
  from tensorflow_model_optimization.python.core.quantization.keras.graph_transformations import model_transformer
label_desc: Use image node_id 1 to create a new DefaultNBitQuantizeLayoutTransform object from inherited base classes: quantize_layout_transform with example: obj = DefaultNBitQuantizeLayoutTransform(num_bits_weight, num_bits_activation)